Cancer Data Project

Johanna Haraldsdottir (s204657), Marie Kragh (s203566), Sofie Bruun (s194678), Amalie Schultz-Nielsen (s204643), and Malou Bech Jakobsen (s203515)

Introduction

The Drug data set provides information about various medications: from treatments of cancer and Alzheimer’s disease to common colds and pain relief
Purpose: Assist healthcare professionals and patients in making decisions when choosing a medication
The 3 rules for making a data set tidy are not satisfied

# A tibble: 11,825 × 3
   `Medicine Name`          Uses                                     Composition
   <chr>                    <chr>                                    <chr>      
 1 Avastin 400mg Injection  Cancer of colon and rectum Non-small ce… Bevacizuma…
 2 Augmentin 625 Duo Tablet Treatment of Bacterial infections        Amoxycilli…
 3 Azithral 500 Tablet      Treatment of Bacterial infections        Azithromyc…
 4 Ascoril LS Syrup         Treatment of Cough with mucus            Ambroxol (…
 5 Aciloc 150 Tablet        Treatment of Gastroesophageal reflux di… Ranitidine…
 6 Allegra 120mg Tablet     Treatment of Sneezing and runny nose du… Fexofenadi…
 7 Avil 25 Tablet           Treatment of Allergic conditionsTreatme… Pheniramin…
 8 Aricep 5 Tablet          Alzheimer's disease                      Donepezil …
 9 Amoxyclav 625 Tablet     Treatment of Bacterial infections        Amoxycilli…
10 Atarax 25mg Tablet       Treatment of AnxietyTreatment of Skin c… Hydroxyzin…
# ℹ 11,815 more rows

Materials and Methods

Cleaning

Augmentation

Description of the Cancer Data

Variables:
Medicine name
Composition
Uses
Side effects
Manufacturer
Poor, Average, Excellent reviews (%)
Distribution of Side Effects

Hej

Analysis 1: Review Levels

What are the probable causes behind the excellent, average, and poor reviews for the cancer drugs?

Influence of Number of Side Effects

Influence of Administration Type

Analysis 2: The 10 most prevalent medications

Number of Side Effects for the 8 most prevalent drugs

Number of side effects for a specific administration type

Analysis 3: Manufacturer and API in relation to review classifications

skriv bullets points

Conclusion

There was no apparent tendency between the number of side effects and what type of review the specific drug got
The review levels do not seem to be dependent on the type of administration
The distribution of side effects seem random for different administration types for the 8 most prevalent drugs, although a rather high number of side effects are present for these drugs
The 8 most prevalent drugs only have the administration types injection and tablet, 75% being injection
Administration through capsules is associated with a high number of side effects whereas administrations such as cream and lotion are associated with a very low number or no side effects.